Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C745933421935260537C6D430B99B37D2A6DE5FFAA70A010EECD7E72BE9CA0745B11A |
|
CONTENT
ssdeep
|
1536:Q4sSEKIIcAtsEJPjQBq1Wixx2Avt8VPB6RxknNucRkal+x2UdP38NEfoUrbkkn3J:KqLqYQ6/FF24yGx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c313ecb4381decc6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
d8c9c8d888060723 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1b20000000b |
|
VISUAL
cropResistant
|
1006260703072327,d4c9d9c8e8d8d8c8 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 62 techniques to evade detection by security scanners and make reverse engineering more difficult.